Marco Brocanelli

According to our database, Marco Brocanelli authored at least 41 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Offloading-Aware Control of AI Task Allocation and Virtual Object Quality in MAR Apps.

Ze Li, Niloofar Didar, Marco Brocanelli

IEEE Trans. Mob. Comput., May, 2026

WalkGPT: Grounded Vision-Language Conversation with Depth-Aware Segmentation for Pedestrian Navigation.

Rafi Ibn Sultan, Hui Zhu, Xiangyu Zhou, Chengyin Li, Prashant Khanduri, Marco Brocanelli, Dongxiao Zhu

CoRR, March, 2026

A Framework for Sustainable Management of Autonomous Ground Robot Fleets.

Syeda Tanjila Atik, Daniel Grosu, Marco Brocanelli

IEEE Trans. Sustain. Comput., 2026

Speeding-Up Graph Algorithms via Clique Partitioning.

Akshar Shravan Chavan, Sanaz Rabinia, Daniel Grosu, Marco Brocanelli

Networks, 2026

2025

A Clique Partitioning-Based Algorithm for Graph Compression.

Akshar Shravan Chavan, Sanaz Rabina, Daniel Grosu, Marco Brocanelli

CoRR, February, 2025

Rethinking Energy Management for Autonomous Ground Robots on a Budget.

Akshar Shravan Chavan, Rudra Joshi, Marco Brocanelli

CoRR, February, 2025

Algorithms for Data Sharing-Aware Task Allocation in Edge Computing Systems.

Sanaz Rabinia, Niloofar Didar, Marco Brocanelli, Daniel Grosu

IEEE Trans. Parallel Distributed Syst., January, 2025

Mapp: Predictive UI View Pre-Caching for Improving the Responsiveness of Mobile Apps.

Run Wang, Zach Herman, Marco Brocanelli, Xiaorui Wang

Proceedings of the 33rd IEEE/ACM International Symposium on Quality of Service, 2025

SEEB-GPU: Early-Exit Aware Scheduling and Batching for Edge GPU Inference.

Srinivasan Subramaniyan, Rudra Joshi, Xiaorui Wang, Marco Brocanelli

Proceedings of the Tenth ACM/IEEE Symposium on Edge Computing, 2025

An Edge-Based Reinforcement Learning Approach for Augmented Reality Apps in Dynamic Contexts.

Ze Li, Marco Brocanelli

Proceedings of the Tenth ACM/IEEE Symposium on Edge Computing, 2025

GeoSAM: Fine-Tuning SAM with Multi-Modal Prompts for Mobility Infrastructure Segmentation.

Rafi Ibn Sultan, Chengyin Li, Hui Zhu, Prashant Khanduri, Marco Brocanelli, Dongxiao Zhu

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

2024

A Maintenance-Aware Approach for Sustainable Autonomous Mobile Robot Fleet Management.

Syeda Tanjila Atik, Akshar Shravan Chavan, Daniel Grosu, Marco Brocanelli

IEEE Trans. Mob. Comput., June, 2024

Trading Virtual Objects Quality for AI Performance in Mobile Augmented Reality Apps.

Niloofar Didar, Marco Brocanelli

Proceedings of the IEEE International Conference on Metaverse Computing, 2024

A Battery Lifespan-Aware Protocol for LPWAN.

Sezana Fahmida, Akshar Shravan Chavan, Venkata Prashant Modekurthy, Abusayeed Saifullah, Marco Brocanelli

Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

Joint AI Task Allocation and Virtual Object Quality Manipulation for Improved MAR App Performance.

Niloofar Didar, Marco Brocanelli

Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

Sustainability-aware Online Task and Charge Allocation for Autonomous Ground Robot Fleets.

Syeda Tanjila Atik, Daniel Grosu, Marco Brocanelli

Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2024

2023

Are Turn-by-Turn Navigation Systems of Regular Vehicles Ready for Edge-Assisted Autonomous Vehicles?

Syeda Tanjila Atik, Marco Brocanelli, Daniel Grosu

IEEE Trans. Intell. Transp. Syst., October, 2023

eAR: An Edge-Assisted and Energy-Efficient Mobile Augmented Reality Framework.

Niloofar Didar, Marco Brocanelli

IEEE Trans. Mob. Comput., July, 2023

VECMAN: A Framework for Energy-Aware Resource Management in Vehicular Edge Computing Systems.

Tayebeh Bahreini, Marco Brocanelli, Daniel Grosu

IEEE Trans. Mob. Comput., 2023

GeoSAM: Fine-tuning SAM with Sparse and Dense Visual Prompting for Automated Segmentation of Mobility Infrastructure.

Rafi Ibn Sultan, Chengyin Li, Hui Zhu, Prashant Khanduri, Marco Brocanelli, Dongxiao Zhu

CoRR, 2023

2022

Editorial for the Special Section on Energy-Efficient Edge Computing.

Daniel Grosu, Jiannong Cao, Marco Brocanelli

IEEE Trans. Sustain. Comput., 2022

Tiny RNN Model with Certified Robustness for Text Classification.

Yao Qiang, Supriya Tumkur Suresh Kumar, Marco Brocanelli, Dongxiao Zhu

Proceedings of the International Joint Conference on Neural Networks, 2022

Counterfactual Interpolation Augmentation (CIA): A Unified Approach to Enhance Fairness and Explainability of DNN.

Yao Qiang, Chengyin Li, Marco Brocanelli, Dongxiao Zhu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Real-Time Schedulability Analysis for Overloaded Primary-to-Secondary Processor Systems.

Mitchell Duncan, Fatima Raadia, Syeda Tanjila Atik, Marco Brocanelli, Nathan Fisher

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

Towards High-Quality Battery Life for Autonomous Mobile Robot Fleets.

Akshar Shravan Chavan, Marco Brocanelli

Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2022

2021

Adversarially Robust and Explainable Model Compression with On-Device Personalization for Text Classification.

Yao Qiang, Supriya Tumkur Suresh Kumar, Marco Brocanelli, Dongxiao Zhu

CoRR, 2021

Data Sharing-Aware Task Allocation in Edge Computing Systems.

Sanaz Rabinia, Haydar Mehryar, Marco Brocanelli, Daniel Grosu

Proceedings of the IEEE International Conference on Edge Computing, 2021

2020

Supervisory Performance Control of Concurrent Mobile Apps for Energy Efficiency.

Marco Brocanelli, Xiaorui Wang

IEEE Trans. Mob. Comput., 2020

Long-Lived LoRa: Prolonging the Lifetime of a LoRa Network.

Sezana Fahmida, Venkata P. Modekurthy, Mahbubur Rahman, Abusayeed Saifullah, Marco Brocanelli

Proceedings of the 28th IEEE International Conference on Network Protocols, 2020

Energy-Aware Resource Management in Vehicular Edge Computing Systems.

Tayebeh Bahreini, Marco Brocanelli, Daniel Grosu

Proceedings of the 2020 IEEE International Conference on Cloud Engineering, 2020

2019

SOD: Making Smartphone Smart on Demand with Radio Interface Management.

Marco Brocanelli, Xiaorui Wang

ACM Trans. Auton. Adapt. Syst., 2019

Energy-Aware Speculative Execution in Vehicular Edge Computing Systems.

Tayebeh Bahreini, Marco Brocanelli, Daniel Grosu

Proceedings of the 2nd International Workshop on Edge Systems, Analytics and Networking, 2019

E2M: an energy-efficient middleware for computer vision applications on autonomous mobile robots.

Liangkai Liu, Jiamin Chen, Marco Brocanelli, Weisong Shi

Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019

2018

SURF: Supervisory Control of User-Perceived Performance for Mobile Device Energy Savings.

Marco Brocanelli, Xiaorui Wang

Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Hang doctor: runtime detection and diagnosis of soft hangs for smartphone apps.

Marco Brocanelli, Xiaorui Wang

Proceedings of the Thirteenth EuroSys Conference, 2018

2017

Making Smartphone Smart on Demand for Longer Battery Life.

Marco Brocanelli, Xiaorui Wang

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Smartphone Radio Interface Management for Longer Battery Lifetime.

Marco Brocanelli, Xiaorui Wang

Proceedings of the 2017 IEEE International Conference on Autonomic Computing, 2017

2015

Maximizing the revenues of data centers in regulation market by coordinating with electric vehicles.

Marco Brocanelli, Sen Li, Xiaorui Wang, Wei Zhang

Sustain. Comput. Informatics Syst., 2015

2014

Integrated Power Management of Data Centers and Electric Vehicles for Energy and Regulation Market Participation.

Sen Li, Marco Brocanelli, Wei Zhang, Xiaorui Wang

IEEE Trans. Smart Grid, 2014

Reducing the expenses of geo-distributed data centers with portable containerized modules.

Marco Brocanelli, Wenli Zheng, Xiaorui Wang

Perform. Evaluation, 2014

2013

Joint management of data centers and electric vehicles for maximized regulation profits.

Marco Brocanelli, Sen Li, Xiaorui Wang, Wei Zhang

Proceedings of the International Green Computing Conference, 2013